UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Discovery joins a list of the greatest hits of the LIGO detector, which ten years ago became the first to detect gravitational waves. The songs of the cosmos, now that we can finally hear them, might ...
Abstract: The deep learning-based anomaly detection methods using visual sensors generally rely on a single modality or variants as raw signal inputs, which severely limits expressiveness and ...
Dr. Sukanya Chakrabarti, the Pei-Ling Chan Endowed Chair in the College of Science at The University of Alabama in Huntsville (UAH), and her team have posted a new paper to the arXiv preprint server ...
Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...
The study, published in npj Metabolic Health and Disease (Nature Portfolio), introduces a powerful tool for predicting biological age, uncovering disease-specific metabolic signatures, and supporting ...
Abstract: Speech impairment may lead to social exclusion where its victims are kept isolated with feelings which negatively affect their morale as is demonstrated on these disabled populations. The ...
1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. 2The Ludwig Center for Cancer Genetics and Therapeutics, Baltimore, Maryland. 3The Sol ...
Welcome to the Real-Time Sign Language Detection project, where we guide you through building a machine learning model capable of detecting sign language gestures live. Using advanced computer vision ...
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